{"id":"W2078241789","doi":"10.1061/9780784413067.030","title":"Port of Seattle - A Collaborative Emission Reduction Success Story","year":2013,"lang":"en","type":"article","venue":"","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Port (circuit theory); Air quality index; Truck; Environmental science; Transport engineering; Reduction strategy; Milestone; Emission inventory; Business; Engineering; Meteorology; Computer science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0110558,0.001024405,0.000337154,0.00165035,0.008712562,0.01797445,0.002972663,0.006941297,0.01123395],"category_scores_gemma":[0.01334064,0.0006543382,0.0005454999,0.002607434,0.002733983,0.007145062,0.008466185,0.007270159,0.0018813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005923792,"about_ca_system_score_gemma":0.01748989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06905783,"about_ca_topic_score_gemma":0.1159297,"domain_scores_codex":[0.9936644,0.001117936,0.0002188958,0.0009220481,0.002564608,0.001512152],"domain_scores_gemma":[0.9839329,0.00328229,0.000811856,0.001562285,0.004048135,0.006362482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002024125,0.001271173,0.01953926,0.0005433197,0.0001409104,0.007894438,0.01105197,0.000984467,0.001872431,0.08898691,0.6095758,0.2579369],"study_design_scores_gemma":[0.00005897916,0.0002593636,0.008409441,0.0002921046,0.00003092019,0.001091681,0.01385769,0.000409548,0.001383596,0.003562296,0.9705677,0.00007671395],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1984159,0.009311747,0.004895343,0.3646826,0.007462564,0.0004834842,0.001143611,0.001001231,0.4126036],"genre_scores_gemma":[0.732155,0.007968329,0.007122469,0.04650882,0.001590429,0.0004884944,0.002612168,0.0006549275,0.2008994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06905783,"threshold_uncertainty_score":0.1373117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004609030563271991,"score_gpt":0.2114275476552113,"score_spread":0.2068185170919393,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}